| Revista: | Journal of applied research and technology |
| Base de datos: | PERIÓDICA |
| Número de sistema: | 000384570 |
| ISSN: | 1665-6423 |
| Autores: | Hussain Shah, Jamal1 Sharif, Muhammad1 Raza, Mudassar1 Murtaza, Marryam1 Ur-Rehman, Saeed1 |
| Instituciones: | 1COMSATS Institute of Information Technology, Department of Computer Science, Wah Cantt. Pakistán |
| Año: | 2015 |
| Periodo: | Feb |
| Volumen: | 13 |
| Número: | 1 |
| Paginación: | 97-105 |
| País: | México |
| Idioma: | Inglés |
| Tipo de documento: | Artículo |
| Enfoque: | Aplicado, descriptivo |
| Resumen en inglés | Face recognition is one of a complex biometrics in the field of pattern recognition due to the constraints imposed by variation in the appearance of facial images. These changes in appearance are affected by variation in illumination, expression or occlusions etc. Illumination can be considered a complex problem in both indoor and outdoor pattern matching. Literature studies have revealed that two problems of textural based illumination handling in face recognition seem to be very common. Firstly, textural values are changed during illumination normalization due to increase in the contrast that changes the original pixels of face. Secondly, it minimizes the distance between interclasses which increases the false acceptance rates. This paper addresses these issues and proposes a robust algorithm that overcomes these limitations. The limitations are resolved through transforming pixels from nonillumination side to illuminated side. It has been revealed that proposed algorithm produced better results as compared to existing related algorithms |
| Disciplinas: | Ciencias de la computación |
| Palabras clave: | Procesamiento de datos, Reconocimiento de rostros, Iluminación, Pixeles, Textura de imágenes |
| Keyword: | Computer science, Data processing, Face recognition, Illumination, Pixels, Image texture |
| Texto completo: | Texto completo (Ver HTML) |
